def _static_pfd_entry(self, bw=0, is_gso=False):
m = self.model
if is_gso:
retval = m.peak_pf_at_geo_dbw_per_m2
else:
retval = m.peak_pf_dbw_per_m2
pfd_per_hz = retval - m.required_rx_bw_dbhz
if bw:
retval = pfd_per_hz + min(utils.to_db(bw), m.required_rx_bw_dbhz)
(
bw,
bw_unit,
) = utils.human_hz(bw)
if is_gso:
label = 'Peak PFD at GSO per %.2g%s' % (bw, bw_unit)
elif m.is_downlink:
label = 'Peak PFD at Surface per %.2g%s' % (bw, bw_unit)
else:
label = 'Peak PFD at Receiver per %.2g%s' % (bw, bw_unit)
unit = 'dBW/m^2/%.2g%s' % (bw, bw_unit)
else:
if is_gso:
label = 'Peak PFD at GSO'
else:
if m.is_downlink:
label = 'Peak PFD at Surface'
else:
label = 'Peak PFD at Receiver'
unit = 'dBW/m^2'
return (
label,
retval,
unit,
)
def fname(self):
return 'pfd-expected-%d%s.png' % utils.human_hz(self.bw)
def _humanize_hz(self, label, val):
return (label, ) + utils.human_hz(val)
def ylabel(self):
return 'Expected PFD (dBW/m^2/%d%s)' % utils.human_hz(self.bw)
def label(self):
return 'pfd-expected-%d%s' % utils.human_hz(self.bw)
def ylabel(self):
return 'Boresight PFD (dBW/m^2/%d%s)' % utils.human_hz(self.bw)
def fname(self):
return 'pfd-canonical-%d%s.png' % utils.human_hz(self.bw)
def label(self):
return 'pfd-canonical-%d%s' % utils.human_hz(self.bw)